Implementation of Bernoulli Naive Bayes classifier

RoboticsClubIITJ / ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.

BSD 3-Clause "New" or "Revised" License

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Implementation of Bernoulli Naive Bayes classifier #58

Closed Saptashrungi closed 3 years ago

Saptashrungi commented 3 years ago

This is similar to the multinomial naive bayes but the predictors are boolean variables. The parameters that we use to predict the class variable take up only values yes or no, for example if a word occurs in the text or not.

Resources: https://kenzotakahashi.github.io/naive-bayes-from-scratch-in-python.html

bhanuexcalibur commented 3 years ago

working on this, please assign this to me

harsh-ux commented 3 years ago

I would like to work on this @rohansingh9001. Please assign it to me.

kwanit1142 commented 3 years ago

@harsh-ux , you are good to go from here.